Steven Quiring

Steven Quiring

Steven Quiring



1124 Derby Hall

Areas of Expertise

  • Climatology
  • Climate Change
  • Quantitative Methods


  • 2005. Ph.D. (Climatology), University of Delaware, Newark, Delaware.
  • 2001. M.A. (Geography), University of Manitoba, Winnipeg, Manitoba, Canada.
  • 1999. B.A. (Geography), University of Winnipeg, Winnipeg, Manitoba, Canada.

Current CV: Steven_Quiring_CV.pdf

Interests: Climatology, Hydroclimatology, Synoptic Climatology, Climate Data Analytics

Current Research:
I am a climatologist with research interests in hydroclimatology, synoptic climatology and applying climate data to solve societally-relevant problems (climate data analytics). My current research projects are concentrated in two areas. The first is improving our understanding of the land-atmosphere interactions and applying this information to improve drought and seasonal climate predictability. The second is modeling the impact of weather events on power infrastructure. A lot of our past work has focused on the impacts of hurricanes on the power system and now we are expanding our focus to look at thunderstorms and winter storms.I utilize a variety of data mining and data analytics approaches in my research. I also employ a variety of models, including: weather/climate, hydrologic, land surface and crop yield.

Courses Taught:
GEOG 5900 Weather, climate, and global warming
GEOG 5921 Microclimatology: Boundary Layer Climatology
GEOG 8902 Applied Climatology

Select Publications:

Ford, T. W. and S. M. Quiring (2019) Comparison of contemporary in situ, model, and satellite remote sensing soil moisture with a focus on drought monitoring. Water Resources Research, 55: 1565-1582. DOI: 10.1029/2018WR024039

Li, Z., Li, X., Wang, Y. and S. M. Quiring (2019) Impact of climate change on precipitation patterns in Houston, Texas USA. Anthropocene: 25: 100193.

Ford, T. W., Quiring, S. M., Thakur, B., Jogineedi, R., Houston, A., Yuan, S., Kalra, A. and N. Lock (2018) Evaluating Soil Moisture-Precipitation Interactions Using Remote Sensing: A Sensitivity Analysis. Journal of Hydrometeorology. 19: 1237–1253.

Shashanni, S., Guikema, S. D., Zhai, C., Pino, J. V. and S. M. Quiring (2018) Multi-stage prediction for zero-inflated hurricane induced power outages. IEEE Access, 6: 62432-62449. DOI: 10.1109/ACCESS.2018.2877078

Quiring S. M., Ford T. W., Wang J. K., Khong A., Harris E., Lindgren T., Goldberg D. W., Li Z. (2016) North American Soil Moisture Database: Development and Applications. Bulletin of the American Meteorological Society, 97: 1441–1459, doi: 10.1175/BAMS-D-13-00263.1

Quiring, S. M., Schumacher, A. B. and S. D. Guikema (2014) Incorporating hurricane forecast uncertainty information into decision support applications. Bulletin of the American Meteorological Society, 95: 47-58. doi: 10.1175/BAMS-D-12-00012.1